'''simple docstring'''




import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script




@require_cpu
class        a__ (  unittest.TestCase					):






     def   SCREAMING_SNAKE_CASE__  (					self						:						Optional[Any]       ):





         """simple docstring"""



         debug_launcher(test_script.main       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						Optional[Any]       ):





         """simple docstring"""



         debug_launcher(test_ops.main       )

'''simple docstring'''




import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__UpperCAmelCase					=logging.get_logger(__name__)

__UpperCAmelCase					={
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

__UpperCAmelCase					={
    "vocab_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"},
    "merges_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"},
}

__UpperCAmelCase					={
    "ctrl": 2_5_6,
}

__UpperCAmelCase					={
    "Pregnancy": 1_6_8_6_2_9,
    "Christianity": 7_6_7_5,
    "Explain": 1_0_6_4_2_3,
    "Fitness": 6_3_4_4_0,
    "Saving": 6_3_1_6_3,
    "Ask": 2_7_1_7_1,
    "Ass": 9_5_9_8_5,
    "Joke": 1_6_3_5_0_9,
    "Questions": 4_5_6_2_2,
    "Thoughts": 4_9_6_0_5,
    "Retail": 5_2_3_4_2,
    "Feminism": 1_6_4_3_3_8,
    "Writing": 1_1_9_9_2,
    "Atheism": 1_9_2_2_6_3,
    "Netflix": 4_8_6_1_6,
    "Computing": 3_9_6_3_9,
    "Opinion": 4_3_2_1_3,
    "Alone": 4_4_9_6_7,
    "Funny": 5_8_9_1_7,
    "Gaming": 4_0_3_5_8,
    "Human": 4_0_8_8,
    "India": 1_3_3_1,
    "Joker": 7_7_1_3_8,
    "Diet": 3_6_2_0_6,
    "Legal": 1_1_8_5_9,
    "Norman": 4_9_3_9,
    "Tip": 7_2_6_8_9,
    "Weight": 5_2_3_4_3,
    "Movies": 4_6_2_7_3,
    "Running": 2_3_4_2_5,
    "Science": 2_0_9_0,
    "Horror": 3_7_7_9_3,
    "Confession": 6_0_5_7_2,
    "Finance": 1_2_2_5_0,
    "Politics": 1_6_3_6_0,
    "Scary": 1_9_1_9_8_5,
    "Support": 1_2_6_5_4,
    "Technologies": 3_2_5_1_6,
    "Teenage": 6_6_1_6_0,
    "Event": 3_2_7_6_9,
    "Learned": 6_7_4_6_0,
    "Notion": 1_8_2_7_7_0,
    "Wikipedia": 3_7_5_8_3,
    "Books": 6_6_6_5,
    "Extract": 7_6_0_5_0,
    "Confessions": 1_0_2_7_0_1,
    "Conspiracy": 7_5_9_3_2,
    "Links": 6_3_6_7_4,
    "Narcissus": 1_5_0_4_2_5,
    "Relationship": 5_4_7_6_6,
    "Relationships": 1_3_4_7_9_6,
    "Reviews": 4_1_6_7_1,
    "News": 4_2_5_6,
    "Translation": 2_6_8_2_0,
    "multilingual": 1_2_8_4_0_6,
}






def __lowerCAmelCase					(				UpperCamelCase__							)      ->       Union[str, Any]:
    __lowerCamelCase            =    set()
    __lowerCamelCase            =    word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)							)
        __lowerCamelCase            =    char

    __lowerCamelCase            =    set(UpperCamelCase__							)
    return pairs




class        a__ (  UpperCAmelCase__					):
     lowerCamelCase    :	str				=VOCAB_FILES_NAMES
     lowerCamelCase    :	Optional[int]				=PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase    :	Tuple				=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase    :	Union[str, Any]				=CONTROL_CODES






     def __init__(					self						:						Optional[Any]    ,							a						:						str    ,							a						:						List[str]    ,							a						:						Optional[int]="<unk>"    ,							**a						:						Any       ):





         """simple docstring"""



         super().__init__(unk_token=a    ,							**a       )

         with open(a    ,							encoding='''utf-8'''       ) as vocab_handle:
             __lowerCamelCase            =    json.load(a       )
         __lowerCamelCase            =    {v: k for k, v in self.encoder.items()}
         with open(a    ,							encoding='''utf-8'''       ) as merges_handle:
             __lowerCamelCase            =    merges_handle.read().split('''\n'''       )[1:-1]
         __lowerCamelCase            =    [tuple(merge.split()       ) for merge in merges]
         __lowerCamelCase            =    dict(zip(a    ,							range(len(a       )       )       )       )
         __lowerCamelCase            =    {}






     @property
     def   SCREAMING_SNAKE_CASE__  (					self						:						Optional[Any]       ):





         """simple docstring"""



         return len(self.encoder       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						int       ):





         """simple docstring"""



         return dict(self.encoder    ,							**self.added_tokens_encoder       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						List[Any]    ,							a						:						Dict       ):





         """simple docstring"""



         if token in self.cache:
             return self.cache[token]
         __lowerCamelCase            =    tuple(a       )
         __lowerCamelCase            =    tuple(list(word[:-1]       ) + [word[-1] + '''</w>''']       )
         __lowerCamelCase            =    get_pairs(a       )

         if not pairs:
             return token

         while True:
             __lowerCamelCase            =    min(a    ,							key=lambda a       : self.bpe_ranks.get(a    ,							float('''inf'''       )       )       )
             if bigram not in self.bpe_ranks:
                 break
             __lowerCamelCase      ,    __lowerCamelCase            =    bigram
             __lowerCamelCase            =    []
             __lowerCamelCase            =    0
             while i < len(a       ):
                 try:
                     __lowerCamelCase            =    word.index(a    ,							a       )
                 except ValueError:
                     new_word.extend(word[i:]       )
                     break
                 else:
                     new_word.extend(word[i:j]       )
                     __lowerCamelCase            =    j

                 if word[i] == first and i < len(a       ) - 1 and word[i + 1] == second:
                     new_word.append(first + second       )
                     i += 2
                 else:
                     new_word.append(word[i]       )
                     i += 1
             __lowerCamelCase            =    tuple(a       )
             __lowerCamelCase            =    new_word
             if len(a       ) == 1:
                 break
             else:
                 __lowerCamelCase            =    get_pairs(a       )
         __lowerCamelCase            =    '''@@ '''.join(a       )
         __lowerCamelCase            =    word[:-4]
         __lowerCamelCase            =    word
         return word






     def   SCREAMING_SNAKE_CASE__  (					self						:						str    ,							a						:						List[str]       ):





         """simple docstring"""



         __lowerCamelCase            =    []

         __lowerCamelCase            =    re.findall(R'''\S+\n?'''    ,							a       )

         for token in words:
             split_tokens.extend(list(self.bpe(a       ).split(''' '''       )       )       )
         return split_tokens






     def   SCREAMING_SNAKE_CASE__  (					self						:						Any    ,							a						:						Dict       ):





         """simple docstring"""



         return self.encoder.get(a    ,							self.encoder.get(self.unk_token       )       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						List[Any]    ,							a						:						Optional[Any]       ):





         """simple docstring"""



         return self.decoder.get(a    ,							self.unk_token       )






     def   SCREAMING_SNAKE_CASE__  (					self						:						Optional[Any]    ,							a						:						Dict       ):





         """simple docstring"""



         __lowerCamelCase            =    ''' '''.join(a       ).replace('''@@ '''    ,							''''''       ).strip()
         return out_string






     def   SCREAMING_SNAKE_CASE__  (					self						:						List[Any]    ,							a						:						str    ,							a						:						Optional[str] = None       ):





         """simple docstring"""



         if not os.path.isdir(a       ):
             logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""       )
             return
         __lowerCamelCase            =    os.path.join(
             a    ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )
         __lowerCamelCase            =    os.path.join(
             a    ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']       )

         with open(a    ,							'''w'''    ,							encoding='''utf-8'''       ) as f:
             f.write(json.dumps(self.encoder    ,							indent=2    ,							sort_keys=a    ,							ensure_ascii=a       ) + '''\n'''       )

         __lowerCamelCase            =    0
         with open(a    ,							'''w'''    ,							encoding='''utf-8'''       ) as writer:
             writer.write('''#version: 0.2\n'''       )
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,							key=lambda a       : kv[1]       ):
                 if index != token_index:
                     logger.warning(
                         f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                         ''' Please check that the tokenizer is not corrupted!'''       )
                     __lowerCamelCase            =    token_index
                 writer.write(''' '''.join(a       ) + '''\n'''       )
                 index += 1

         return vocab_file, merge_file

     # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
     #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
     #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
     #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
     #     return ''.join(tokens_generated_so_far)
